Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department

Waleed Abo-Hamad; Amr Arisha

doi:10.21427/d7nj6w

Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility’s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.

Original language	English
DOIs	https://doi.org/10.21427/d7nj6w
Publication status	Published - 2013
Event	20th International Annual EurOMA Conference - Dublin, Ireland Duration: 9 Jun 2013 → 12 Jun 2013

Conference

Conference	20th International Annual EurOMA Conference
Country/Territory	Ireland
City	Dublin
Period	9/06/13 → 12/06/13
Other	Operations Management at the Heart of the Recovery

Keywords

Emergency Department
staff scheduling
dynamic patient demand
stochastic model
patients care pathways
Analytical Hierarchical Process
Evolutionary algorithms
continuity of care
balanced equilibrium

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10.21427/d7nj6wLicence: CC BY-NC-SA

Cite this

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title = "Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department",

abstract = "This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility{\textquoteright}s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.",

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AU - Arisha, Amr

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AB - This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility’s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.

KW - Emergency Department

KW - staff scheduling

KW - dynamic patient demand

KW - stochastic model

KW - patients care pathways

KW - Analytical Hierarchical Process

KW - Evolutionary algorithms

KW - continuity of care

KW - balanced equilibrium

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DO - 10.21427/d7nj6w

M3 - Paper

T2 - 20th International Annual EurOMA Conference

Y2 - 9 June 2013 through 12 June 2013

ER -

Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department

Abstract

Conference

Keywords

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Cite this